Triple

T1935299
Position Surface form Disambiguated ID Type / Status
Subject Universal Clipboard E41430 entity
Predicate partOf P40 FINISHED
Object Continuity E127268 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Continuity | Statement: [Universal Clipboard, partOf, Continuity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Continuity
Context triple: [Universal Clipboard, partOf, Continuity]
  • A. Continuity chosen
    Continuity is Apple’s ecosystem feature set that seamlessly links activities and data across iPhone, iPad, Mac, Apple Watch, and other Apple devices for a unified user experience.
  • B. UNINTERRUPTED
    UNINTERRUPTED is a media company and athlete empowerment brand focused on giving athletes a platform to share their stories directly with fans.
  • C. Continuing the Line
    "Continuing the Line" is an episode of the natural history television series "The Trials of Life," focusing on the reproductive strategies and behaviors animals use to ensure the survival of their offspring.
  • D. Continuity Sketch
    Continuity Sketch is a design collaboration tool that helps teams create, share, and refine interface sketches and workflows during product handoff.
  • E. Continuity Markup
    Continuity Markup is an Apple feature that lets users annotate and mark up content on a Mac using an iPhone or iPad in a seamless, integrated workflow.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb29c7be08190986df157bf5d7c9e completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f3932081909a72d1022259359e completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.